Islam Boumediene

YOUNITED: CORE DATA WAREHOUSES DESIGN & LEGACY MIGRATION

• Designed and built new centralized, well-documented core data warehouses on a modern data stack, from architecture to production

• Led the AI-assisted migration off the legacy stack, decommissioning legacy systems while rebuilding the data assets on the new stack

• Defined and implemented data governance rules across the platform

• Drove Data Mesh transformation, decentralizing data ownership to the tech teams producing the data

• Acted as strategic advisor to data teams on the key data initiatives to undertake

Lead the design and build of new centralized, documented core data warehouses on a modern data stack, and the AI-assisted

migration off the legacy stack, while defining data governance rules and decentralizing data ownership to the teams producing the

data.

Technical context: Airflow, DBT, Python, PySpark, Google BigQuery, Azure DevOps Pipelines (CI/CD), Git, Claude Code, OpenCode

END-TO-END ANALYTICS SET UP FOR FINANCE

• Data architecture and design

• Data modeling based on medallion architecture

• Technical implementation

As part of a strategic project for finance teams, my role consists of providing technical guidance on architecture and tooling choices,

delivering scalable data solutions with a strong focus on generating business value quickly.

Technical context: DBT, Snowflake, PowerBI, Gitlab (CI/CD)

DATA PLATFORM SET UP

• Data architecture and design

• ETL and ELT pipelines set up

• Data modeling, data warehousing and support to end users

• Data Mesh transformation

• Data governance rules enhancement, data catalog and metadata management

As part of the data engineering team, I participated in the Data platform enhancement. My daily work encompasses building up ingestion and transformation pipelines, data warehousing and business modeling. My role have evolved into taking a wide part in Younited Data Mesh transition by tooling up and assisting business / tech teams following key data governance principles.

Technical context:Airflow, DBT, Python, PySpark (Spark 3), BigQuery, Google Cloud Run, Dataflow, Azure Event Hubs, Kubernetes,

Azure DevOps Pipelines (CI/CD), Git, Terraform